Failure Transition Distance-Based Importance Sampling Schemes for theSimulation of Repairable Fault-Tolerant Computer Systems

@article{Carrasco2006FailureTD,
  title={Failure Transition Distance-Based Importance Sampling Schemes for theSimulation of Repairable Fault-Tolerant Computer Systems},
  author={Juan A. Carrasco},
  journal={IEEE Transactions on Reliability},
  year={2006},
  volume={55},
  pages={207-236}
}
Markov models are often used to evaluate dependability attributes of fault-tolerant computer systems. The use in practice of Markov models is, however, hampered by the well-known state space explosion problem. Simulation alleviates the problem. For Markov models of repairable fault-tolerant systems, standard simulation of dependability measures tends to be expensive due to the rarity of the system failure event. Importance sampling can speed up the simulation. This paper develops two importance… CONTINUE READING

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